{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:KYIPMRA7A2IHRJTITMPK2X2SOX","short_pith_number":"pith:KYIPMRA7","canonical_record":{"source":{"id":"2307.16516","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2023-07-31T09:32:21Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"838619b42216ae6399ee19624f82578dd65c44dff645fb445cf158694654ff91","abstract_canon_sha256":"30a76cd62d2bb35fff5c906fe221e60a5ff4770fdeaa86a0f8e899c319449b49"},"schema_version":"1.0"},"canonical_sha256":"5610f6441f069078a6689b1ead5f5275e5fc7bc901bd79160be72302ed34d053","source":{"kind":"arxiv","id":"2307.16516","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.16516","created_at":"2026-07-05T07:27:07Z"},{"alias_kind":"arxiv_version","alias_value":"2307.16516v2","created_at":"2026-07-05T07:27:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.16516","created_at":"2026-07-05T07:27:07Z"},{"alias_kind":"pith_short_12","alias_value":"KYIPMRA7A2IH","created_at":"2026-07-05T07:27:07Z"},{"alias_kind":"pith_short_16","alias_value":"KYIPMRA7A2IHRJTI","created_at":"2026-07-05T07:27:07Z"},{"alias_kind":"pith_short_8","alias_value":"KYIPMRA7","created_at":"2026-07-05T07:27:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:KYIPMRA7A2IHRJTITMPK2X2SOX","target":"record","payload":{"canonical_record":{"source":{"id":"2307.16516","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2023-07-31T09:32:21Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"838619b42216ae6399ee19624f82578dd65c44dff645fb445cf158694654ff91","abstract_canon_sha256":"30a76cd62d2bb35fff5c906fe221e60a5ff4770fdeaa86a0f8e899c319449b49"},"schema_version":"1.0"},"canonical_sha256":"5610f6441f069078a6689b1ead5f5275e5fc7bc901bd79160be72302ed34d053","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:27:07.439045Z","signature_b64":"UteFkh4wMdE7uqojn6p+SAFE0P/6poY1P2N9xQ4TPS9Sh366ypJzIW1+idsFfDtnWyIzVewp1GnO2EhHTdOgCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5610f6441f069078a6689b1ead5f5275e5fc7bc901bd79160be72302ed34d053","last_reissued_at":"2026-07-05T07:27:07.438506Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:27:07.438506Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2307.16516","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:27:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Hpb/yyjxeOJewLp603x7TCjziSI3RFo1yGBEmEArFfhns20mVurwMT4Fjstfb8ia9nsU/8rk1l/o5zvxXmKYBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T22:35:51.114076Z"},"content_sha256":"3001f57886d23f1a74a1cd9fcdec5f10231697caab098fca4a243eae5a8569fc","schema_version":"1.0","event_id":"sha256:3001f57886d23f1a74a1cd9fcdec5f10231697caab098fca4a243eae5a8569fc"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:KYIPMRA7A2IHRJTITMPK2X2SOX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SpatialNet: Extensively Learning Spatial Information for Multichannel Joint Speech Separation, Denoising and Dereverberation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.AS"],"primary_cat":"cs.SD","authors_text":"Changsheng Quan, Xiaofei Li","submitted_at":"2023-07-31T09:32:21Z","abstract_excerpt":"This work proposes a neural network to extensively exploit spatial information for multichannel joint speech separation, denoising and dereverberation, named SpatialNet. In the short-time Fourier transform (STFT) domain, the proposed network performs end-to-end speech enhancement. It is mainly composed of interleaved narrow-band and cross-band blocks to respectively exploit narrow-band and cross-band spatial information. The narrow-band blocks process frequencies independently, and use self-attention mechanism and temporal convolutional layers to respectively perform spatial-feature-based spea"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.16516","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2307.16516/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:27:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"30ndll5ZUpvxpU4G141RNBhqMsCiA/6HECiNUZMLmjNumcxLkL1gQWdY+3prg1NzjaT6/uchwTGPvQZfHcVyDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T22:35:51.114649Z"},"content_sha256":"16edb9fb8852b65441484a353eef0a1aec19fc2506a50a394ed5ce353b39a8a2","schema_version":"1.0","event_id":"sha256:16edb9fb8852b65441484a353eef0a1aec19fc2506a50a394ed5ce353b39a8a2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KYIPMRA7A2IHRJTITMPK2X2SOX/bundle.json","state_url":"https://pith.science/pith/KYIPMRA7A2IHRJTITMPK2X2SOX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KYIPMRA7A2IHRJTITMPK2X2SOX/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-18T22:35:51Z","links":{"resolver":"https://pith.science/pith/KYIPMRA7A2IHRJTITMPK2X2SOX","bundle":"https://pith.science/pith/KYIPMRA7A2IHRJTITMPK2X2SOX/bundle.json","state":"https://pith.science/pith/KYIPMRA7A2IHRJTITMPK2X2SOX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KYIPMRA7A2IHRJTITMPK2X2SOX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:KYIPMRA7A2IHRJTITMPK2X2SOX","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"30a76cd62d2bb35fff5c906fe221e60a5ff4770fdeaa86a0f8e899c319449b49","cross_cats_sorted":["eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2023-07-31T09:32:21Z","title_canon_sha256":"838619b42216ae6399ee19624f82578dd65c44dff645fb445cf158694654ff91"},"schema_version":"1.0","source":{"id":"2307.16516","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.16516","created_at":"2026-07-05T07:27:07Z"},{"alias_kind":"arxiv_version","alias_value":"2307.16516v2","created_at":"2026-07-05T07:27:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.16516","created_at":"2026-07-05T07:27:07Z"},{"alias_kind":"pith_short_12","alias_value":"KYIPMRA7A2IH","created_at":"2026-07-05T07:27:07Z"},{"alias_kind":"pith_short_16","alias_value":"KYIPMRA7A2IHRJTI","created_at":"2026-07-05T07:27:07Z"},{"alias_kind":"pith_short_8","alias_value":"KYIPMRA7","created_at":"2026-07-05T07:27:07Z"}],"graph_snapshots":[{"event_id":"sha256:16edb9fb8852b65441484a353eef0a1aec19fc2506a50a394ed5ce353b39a8a2","target":"graph","created_at":"2026-07-05T07:27:07Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2307.16516/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This work proposes a neural network to extensively exploit spatial information for multichannel joint speech separation, denoising and dereverberation, named SpatialNet. In the short-time Fourier transform (STFT) domain, the proposed network performs end-to-end speech enhancement. It is mainly composed of interleaved narrow-band and cross-band blocks to respectively exploit narrow-band and cross-band spatial information. The narrow-band blocks process frequencies independently, and use self-attention mechanism and temporal convolutional layers to respectively perform spatial-feature-based spea","authors_text":"Changsheng Quan, Xiaofei Li","cross_cats":["eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2023-07-31T09:32:21Z","title":"SpatialNet: Extensively Learning Spatial Information for Multichannel Joint Speech Separation, Denoising and Dereverberation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.16516","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:3001f57886d23f1a74a1cd9fcdec5f10231697caab098fca4a243eae5a8569fc","target":"record","created_at":"2026-07-05T07:27:07Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"30a76cd62d2bb35fff5c906fe221e60a5ff4770fdeaa86a0f8e899c319449b49","cross_cats_sorted":["eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2023-07-31T09:32:21Z","title_canon_sha256":"838619b42216ae6399ee19624f82578dd65c44dff645fb445cf158694654ff91"},"schema_version":"1.0","source":{"id":"2307.16516","kind":"arxiv","version":2}},"canonical_sha256":"5610f6441f069078a6689b1ead5f5275e5fc7bc901bd79160be72302ed34d053","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5610f6441f069078a6689b1ead5f5275e5fc7bc901bd79160be72302ed34d053","first_computed_at":"2026-07-05T07:27:07.438506Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:27:07.438506Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UteFkh4wMdE7uqojn6p+SAFE0P/6poY1P2N9xQ4TPS9Sh366ypJzIW1+idsFfDtnWyIzVewp1GnO2EhHTdOgCw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:27:07.439045Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.16516","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3001f57886d23f1a74a1cd9fcdec5f10231697caab098fca4a243eae5a8569fc","sha256:16edb9fb8852b65441484a353eef0a1aec19fc2506a50a394ed5ce353b39a8a2"],"state_sha256":"03d224fdc54f9cb193bf0e1801879cadb70abda50fbe19a464204409f842d722"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ixML4tUOc7seNvpCNZb5pvJeMotW9ooCTt6m0Yk9DatRCGSC/MntZxPg+JIE1bzUdFdbzQg6sSKlBeIB28hYCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T22:35:51.119652Z","bundle_sha256":"e08d4f6ffe0185430e0a27c200d1010c3ca57638a25cbc69ee6814a0da71b9e6"}}